Open-source alternatives to FluentSerializer

Fast Binary Encoding is ultra fast and universal serialization solution for C++, C#, Go, Java, JavaScript, Kotlin, Python, Ruby, Swift

uPickle: a simple, fast, dependency-free JSON & Binary (MessagePack) serialization library for Scala

Header-only library suitable for android/arm builds - Small, easy to understand - No pre-compilation of headers - No template specialization complexity

vproto can parse most (or maybe all...) of the proto2 spec. It compiles the Steam Protobufs generating valid code and also parses the protoc plugin protobufs (which can be found in plugin/google/protobuf). It can parse options, extensions, map fields and extends definitions but does not generate…

Yes, there are loads more of these types of config languages, but I wanted to make my own because the other options are overkill for my projects.

UltraJSON is a high-performance JSON library and parser written in C with bindings for Python. It provides a fast alternative to standard JSON processing for decoding JSON strings into native data structures and encoding data structures back into JSON strings. The library utilizes a C-based engine to reduce processing latency and increase throughput for JSON generation and parsing. It is designed to accelerate data pipelines and optimize the handling of JSON payloads.

Facebook's branch of Apache Thrift, including a new C++ server.

Cista is a simple, high-performance, zero-copy C++ serialization & reflection library.

Your binary serialization library

This project is a Protocol Buffers Go compiler and code generation framework that translates schema definitions into optimized Go structures and reflection-free serialization methods. It includes a gRPC service generator for producing client and server communication code and a serialization performance toolkit for generating automated benchmarks and test suites. The framework features a plugin-based system for transforming data definitions into source code with custom field mapping and struct tag injection. It allows for custom type mapping and struct type overriding to link data fields to sp

This project is a Protocol Buffers implementation for Go, providing a binary serialization framework to convert native data structures into a compact binary format for efficient network transmission and storage. It functions as a language bindings generator, utilizing a compiler plugin to create Go source code from platform-neutral protocol buffer definitions. The implementation includes a JSON data mapper that transforms structured binary messages into JSON format to facilitate compatibility with web services and external APIs. It also enables cross-language data exchange by using a common s

FlatBuffers is a cross-platform serialization library designed for performance-critical applications that require efficient, zero-copy data access. By organizing data in a structured binary format, it allows applications to read and write complex data structures directly from memory-mapped buffers without the need for intermediate parsing or temporary object allocation. The project distinguishes itself through a schema-driven approach that balances high-performance access with long-term data evolution. It utilizes a unique memory layout featuring relative offsets and inline fixed-size structu

vlang.io | Docs | Changelog | Contributing

Fast, idiomatic C# implementation of Flatbuffers

Newtonsoft.Json is a data processing utility for the .NET ecosystem designed to facilitate the transformation and exchange of information. It functions as a serialization library and object mapping framework, enabling the conversion of complex application objects into formatted JSON strings and the reconstruction of structured objects from raw JSON data. The library distinguishes itself through a flexible architecture that supports both strongly-typed class mapping and a dynamic object model for schema-less data manipulation. It employs reflection-based metadata mapping to automate property a

I think this YAML parser covers many important aspects of the YAML spec, but certainly not everything. I've been using the YAML spec and this online tool whenever I was in doubt.

Very simple CSV-export tool for C#

This project is a high-performance JSON library for Go, serving as a replacement for the standard encoding/json package. It provides a serialization engine for encoding and decoding data structures, alongside a schemaless parser for extracting specific values from JSON blobs using paths. The library distinguishes itself through a focus on reducing CPU and memory overhead. It implements a high-performance encoder that utilizes buffer reuse and reduced float precision to increase data throughput. Broad capability areas include data serialization, high-performance JSON processing, and schema-le

csvutil provides fast and idiomatic mapping between CSV and Go (golang) values.

Simple and practical module for manipulating ini/cfg file.

Marshmallow is a Python data serialization library and validation framework. It functions as a bridge that transforms complex application objects into primitive data types for storage or network transmission and vice versa. The library utilizes a schema-based approach to validate that incoming data conforms to specific types and constraints. It employs a two-way transformation pipeline consisting of separate load and dump phases to handle deserialization and serialization. The framework supports class-based schema definitions with declarative field validation and recursive schema nesting for